code: def __getitem__(self, idx):
      image_path = self.images_path[idx]
      mask_path = self.masks_path[idx]
      image = cv2.imread(image_path, flags=cv2.IMREAD_COLOR)
      assert image is not None, f"failed to read image: {image_path}"
      image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)  # BGR -> RGB
      h, w, _ = image.shape
  
      target = cv2.imread(mask_path, flags=cv2.IMREAD_GRAYSCALE)
      assert target is not None, f"failed to read mask: {mask_path}"
  
      if self.transforms is not None:
          image, target = self.transforms(image, target)
  
      return image, target
  
file_path: deep-learning-for-image-processing/pytorch_segmentation/u2net/my_dataset.py
imports: import os
  import cv2
  import torch.utils.data
label_desc: Use image node_id 2 for calling the DUTSDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: image,  target